Wissenschaftliches Seminar
| Termin / Date | Name | Thema / Topic | Organization / Organisation | Anmerkung / Remark |
|---|---|---|---|---|
| 30.04.20 - 14:00 Uhr | Jonas Annuscheid | Learning Subjectivity in Neural Networks | wissenschaftliches Seminar | per DNF Pexip-Meeting |
| 07.05.20 - 14:00 Uhr | Oliver Fischer | Towards Explainability (for Neural Networks) | wissenschaftliches Seminar | per DNF Pexip-Meeting |
| 14.05.20 - 14:00 Uhr | Patrick Baumann | GAN Approaches for histopathological Data | wissenschaftliches Seminar | per DNF Pexip-Meeting |
| 04.06.20 - 14:00 Uhr | Peter Hufnagel | Empaia Projekt an der Charite | wissenschaftliches Seminar | per DNF Pexip-Meeting |
| 11.06.20 - 14:00 Uhr | - | Linear Algebra and Learning from Data; Gilbert Strang - Chapter 1 | Journal-Club / Book Club | per DNF Pexip-Meeting |
| 02.07.20 - 14:00 Uhr | - | K. Murphy: Machine Learning - A Probabilistic Perspective - Chapter 2,3 | Journal-Club / Book Club | per DNF Pexip-Meeting |
| 23.07.20 - 14:00 Uhr | -- | Tishby, Naftali, and Noga Zaslavsky. “Deep learning and the information bottleneck principle.” In 2015 IEEE Information Theory Workshop (ITW), pp. 1-5. IEEE, 2015. resp. Shwartz-Ziv, Ravid, and Naftali Tishby. “Opening the black box of deep neural networks via information.” arXiv preprint arXiv:1703.00810 (2017). | Journal-Club / Book Club | per DNF Pexip-Meeting |
